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CN103049444B - A data storage method and system for information classification structure - Google Patents

A data storage method and system for information classification structure Download PDF

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CN103049444B
CN103049444B CN 201110308148 CN201110308148A CN103049444B CN 103049444 B CN103049444 B CN 103049444B CN 201110308148 CN201110308148 CN 201110308148 CN 201110308148 A CN201110308148 A CN 201110308148A CN 103049444 B CN103049444 B CN 103049444B
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CN 201110308148
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CN103049444A (en )
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孔柏汉
何玫
周杰
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阿里巴巴集团控股有限公司
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor ; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor ; File system structures therefor in structured data stores
    • G06F17/30587Details of specialised database models
    • G06F17/30595Relational databases
    • G06F17/30598Clustering or classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor ; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor ; File system structures therefor in structured data stores
    • G06F17/30312Storage and indexing structures; Management thereof
    • G06F17/30321Indexing structures
    • G06F17/30327Trees, e.g. B+trees
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor ; File system structures therefor
    • G06F17/30943Information retrieval; Database structures therefor ; File system structures therefor details of database functions independent of the retrieved data type
    • G06F17/30946Information retrieval; Database structures therefor ; File system structures therefor details of database functions independent of the retrieved data type indexing structures
    • G06F17/30961Trees
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor ; File system structures therefor
    • G06F17/30943Information retrieval; Database structures therefor ; File system structures therefor details of database functions independent of the retrieved data type
    • G06F17/30994Browsing or visualization

Abstract

本申请公开了一种数据信息分类结构的存储方法和系统,通过采用在原有的初始分类结构树的基础上,生成存储数据信息类目结构的重组分类结构树,由于上述重组分类结构树具有灵活多变的特征,在进行数据信息维护和数据信息查找时,利用搜索引擎对数据信息进行搜索,便能够及时快速的搜索到需要的数据信息,因此,有效的解决了在现有技术中进行数据信息搜索时,搜索引擎负担过重,以及在进行数据信息维护和数据信息查找时压力过大的技术问题,进而具有既能减少搜索引擎的负担,又能缓解在进行数据信息维护和数据信息查找时的压力的技术效果。 The present application discloses a method and system for data storage information classification structure, by employing in the original tree of the initial classification, the classification tree generating recombinant storing data structure information category, since the classification tree having flexible recombinant when changing features, making data maintenance and data information search, the data search information using search engines, will be able to search quickly and timely data needed, therefore, an effective solution for data in the prior art when information search, search engine overburdened, and information during data maintenance and data information to find the pressure too much technical problems and then have both to reduce the burden of the search engines, but also to ease during data maintenance and data information to find information the technical effect of the pressure of time.

Description

一种数据信息分类结构的存储方法和系统 A data storage method and system for information classification structure

技术领域 FIELD

[0001]本申请涉及数据信息搜索领域,特别是提供了一种数据信息分类结构的存储方法和系统。 [0001] The present application relates to the field of information search data, in particular to provide a method and system for storing classification data structure.

背景技术 Background technique

[0002] 随着互联网技术的不断发展,互联网的应用越来越广泛,现今已流行利用互联网搭建网络购物平台,如在某些大型网站上建立虚拟商店进行交易,这就导致网络购物平台上存储的数据信息大量增加,出现了数据信息泛滥的局面。 [0002] With the continuous development of Internet technology, the Internet is more and more widely, has now been popular use of the Internet to build online shopping platform, such as setting up a virtual shop on some large sites to trade, which led to a storage platform on online shopping a large amount of data increases, the data appear epidemic.

[0003]为了规范数据信息的管理,现有技术中采用了树状的分类+特征信息对数据信息进行管理,并在此基础上进行数据信息的发布、展示和搜索。 [0003] In order to standardize the management information data, the prior art uses a tree classification characteristic information + data management information, and publish data on the basis of information, display and search. 如:当网络购物平台系统接收到一个数据信息的接收请求时,会按照规定的标准对其进行逐级分类,相同类别的数据信息就会被综合归类,进而组成庞大的分类结构树,并在数据信息展示界面上展示。 Such as: When the online shopping platform system receives a request to receive information when the data will be in accordance with the provisions of the standard classification level by level, the same type of data will be integrated classified information, and then form a huge classification tree, and information displayed on the data display screen.

[0004]然而,当该数据信息在数据信息展示界面上展示时,会给网络购物平台内部在进行数据信息维护以及数据信息查找时带来巨大压力,并会给搜索引擎带来巨大负担。 [0004] However, when the data displayed on the data display interface, internal data will give online shopping platform during the information maintenance and enormous pressure to find data, and the search engine will bring a huge burden. 比如,输入“联想lenovo”或“lenovo”等查询词时,由于联想Ienovo有许多不同的商品,像联想手机、联想笔记本电脑、联想打印机、联想内存卡之类,联想手机属于通讯工具领域中的手机领域,而联想笔记本电脑属于通讯工具领域中的电脑领域,两者是属于同一类下不同子类,当搜索引擎搜索联想产品时,搜索引擎就会从通讯工具开始搜索,并一一搜索出手机领域中不同型款的联想手机,再重复在通讯工具重新开始搜索,再一一搜索出电脑领域中不同型款的联想笔记本电脑,再重复搜索联想打印机以及联想内存卡等联想产品,直到将所有联想手机、所有联想电脑以及所有联想打印机和所有联想内存卡全部搜索出来为止,上述搜索重复了许多不必要的搜索,这就导致搜索引擎负担大大增加,并且在进行数据信息维护和数据信息查找时,产生巨大压力。 For example, when entering "Lenovo lenovo" or "lenovo" and other query words, due to the association Ienovo There are many different products, like Lenovo Mobile, Lenovo notebook computers, Lenovo printer Lenovo memory cards and the like, Lenovo mobile phones belonging to the communication tools in the field of mobile phones, while Lenovo laptop computer belonging to the field of communications tools, both belong to the same class with different sub-categories, when Lenovo product search engine, the search engine will start searching from communication tools, and 11 search out mobile phones of different models of Lenovo mobile phone type, and then repeat the communication tool to start the search again, again one search field in a different type of computer models of Lenovo laptops, printers, and then repeat the search Lenovo Lenovo Lenovo memory cards and other products until All Lenovo Mobile, Lenovo and all all all Lenovo Lenovo printers and memory cards up to search out all the searches for duplicate a lot of unnecessary search, which led to greatly increase the burden of the search engine, and performing data maintenance and data information to find when, a huge pressure.

发明内容 SUMMARY

[0005]为了减少搜索引擎的负担,以及缓解在进行数据信息维护和数据信息查找时的压力,本申请提供了一种数据信息分类结构的存储方法和系统,通过采用在原有的初始分类结构树的基础上,生成存储数据信息类目结构的重组分类结构树,由于上述重组分类结构树具有灵活多变的特征,在进行数据信息维护和数据信息查找时,利用搜索引擎对数据信息进行搜索,便能够及时快速的搜索到需要的数据信息,进而既能减少搜索引擎的负担,又能缓解在进行数据信息维护和数据信息查找时的压力。 [0005] To reduce the burden of search engines, and ease during the maintenance data and the pressure data lookup, the present application provides a method and system for storing data structure information classification, by using the existing initial classification tree based on the classification tree generating recombinant storing data structure information category, since the recombinant classification tree having flexible features, during the maintenance data information and data information to find and use a search engine to search for data, will be able to quickly search for data in a timely manner the information you need, thereby reducing the burden on both the search engines, but also to ease the pressure when performing data maintenance and data lookup.

[0006]本申请提供一种数据信息分类结构的存储方法,首先,获得用于存储数据信息类目结构的初始分类结构树,所述初始分类结构树包括数据信息查询源特征的初始根节点,和至少一级描述分类特征的子节点,叶子节点为对应的数据信息; [0006] The present application provides a method for storing classification data structure, first, a preliminary classification tree for storing data structure information category, the initial classification tree root node data includes an initial inquiry source characteristics, and sub-nodes of the at least one classification characteristic description, the leaf node corresponding to the data information;

[0007]至少执行一次如下步骤,生成一个存储数据信息类目结构的重组分类结构树,并存储生成的重组分类结构树: [0007] at least once the steps of generating a recombinant classification tree structure for storing data information category, and stores the classification tree generated by recombination:

[0008]将所述初始分类结构树中的初始根节点或其中一级子节点确定为重组分类结构树的根节点; [0008] The initial classification tree structure wherein an initial sub-root node or a root node is determined as recombinant classification tree;

[0009]将所述初始分类结构树中除确定的根节点或子节点之外的剩余节点中,至少一个节点确定为所述重组分类结构树的子节点; [0009] The remaining nodes other than the root node or a child node of the initial tree classification is determined in addition, at least one node of the child node determined recombinant classification tree;

[0010]根据为所述重组分类结构树确定出的根节点和子节点,并将所述对应的数据信息作为重组分类结构树的叶子节点,生成和所述初始分类结构树不相同的重组分类结构树。 Recombinant classification structure [0010] The recombinant determined for the classification tree root and child nodes, and data information corresponding to the leaf node as a recombinant classification tree is generated and the initial classification trees are not the same tree.

[0011]可选的,所述获得用于存储数据信息类目结构的初始分类结构树,具体为:所述存储数据信息类目结构的初始分类结构树是数据信息发布时,按照标准分类结构树选择建立的。 [0011] Optionally, the obtaining data storage information for initial classification category tree structures, specifically: an initial classification configuration data stored in the information category tree is a data structure of information dissemination, according to the standard classification structure select the tree established.

[0012]除此之外,本申请还提供一种存储数据信息分类结构的系统,具体包括: [0012] In addition, the present application further provides a system for storing data information classification structure comprises:

[0013]分类运维模块,用于获得用于存储数据信息类目结构的初始分类结构树,所述初始分类结构树包括数据信息查询源特征的初始根节点,和至少一级描述分类特征的子节点,叶子节点为对应的数据信息; [0013] Sort operation and maintenance module configured to obtain an initial classification tree for storing data structure information category, the initial classification tree root node data includes an initial inquiry source characteristics, and at least one classification characteristic described in child nodes, the leaf node corresponding to the data information;

[0014]并用于至少执行一次如下步骤,生成一个存储数据信息类目结构的重组分类结构树: [0014] and for performing at least once the steps of generating a recombinant classification tree structure for storing data information category:

[0015]规则引擎模块,用于将所述初始分类结构树中的初始根节点或其中一级子节点确定为重组分类结构树的根节点;并用于将所述初始分类结构树中除确定的根节点和子节点之外的剩余节点中,至少一个节点确定为所述重组分类结构树的子节点;还用于根据为所述重组分类结构树确定出的根节点和子节点,并将所述对应的数据信息作为重组分类结构树的叶子节点,生成和所述初始分类结构树不相同的重组分类结构树; [0015] The rule engine module, the initial classification tree structure wherein an initial root node or a child node as the root node for determining the classification of recombinant tree; and for the initial classification tree is determined, in addition to remaining nodes other than the root and child nodes, at least one node determines said recombinant classification tree child node; further determined according to the recombinant classification tree root and child nodes and said corresponding leaf node as data information recombinant classification tree generated classification tree and the initial non-identical recombination classification tree;

[0016]分类数据模块,用于存储初始分类结构树和重组分类结构树。 [0016] The data classification means for storing an initial classification tree and recombinant classification tree.

[0017]可选的,所述获得用于存储数据信息类目结构的初始分类结构树,具体为:所述用于存储数据信息类目结构的初始分类结构树是数据信息发布时,按照标准分类结构树选择建立的。 [0017] Optionally, the obtaining data storage information for initial classification category tree structures, specifically: when used in the initial classification category tree data structure stored data is released, in accordance with standard classification tree selection established.

[0018]除此之外,本申请还提供一种利用按照所述数据信息分类结构的存储方法生成的数据信息分类结构,查询数据信息的方法,包括如下步骤:将数据信息的初始分类结构树和每一个重组分类结构树的根节点作为数据信息查询源特征的导航信息显示在数据信息查询界面上;根据用户选择的数据信息查询源特征,确定数据信息查询源特征作为根节点的分类结构树;根据确定的分类结构树为用户逐级导航,直至用户查询到所述数据信息。 [0018] In addition, the present application also provides a data structure of a classification using the information generated according to the method of storing information classification data structure, data query method, comprising the steps of: initial classification tree data information navigation information and each of the root node of the tree structure of recombinant classified as query feature data source information is displayed on the data information query interface; information query the data source characteristics selected by the user, is determined as the inquiry information of the source feature data classification tree root ; classification according to the determined tree for the user to navigate stepwise, until the user to query the data.

[0019]可选的,所述获得用于存储数据信息类目结构的初始分类结构树,具体为:所述用于存储数据信息类目结构的初始分类结构树是数据信息发布时,按照标准分类结构树选择建立的。 [0019] Optionally, the obtaining data storage information for initial classification category tree structures, specifically: when used in the initial classification category tree data structure stored data is released, in accordance with standard classification tree selection established.

[0020]除此之外,本申请还提供一种利用按照所述数据信息分类结构的存储方法生成的数据信息分类结构,查询数据信息的系统,具体包括:数据信息展示模块,用于显示将数据信息的初始分类结构树和每一个重组分类结构树的根节点作为数据信息查询源特征的导航信息;搜索引擎模块,用于根据用户选择的数据信息查询源特征,确定数据信息查询源特征作为根节点的分类结构树,并用于根据确定的分类结构树为用户逐级导航,直至用户查询到所述数据信息;数据存储模块,用于存储数据信息,提供数据查询源。 [0020] In addition, the present application also provides a data structure of a classification using the information generated according to the method of storing the data structure classification information, the system queries the information data, comprises: data display means for displaying the initial classification tree data information and each of the recombinant classification tree root node as the source of the query feature data navigation information; search engine module, according to information query data source characteristics selected by the user, wherein the source data is determined as the query classification tree root, and for a user to navigate stepwise according to the determined classification tree, until the user query information to the data; a data storage module for storing data information, providing data query source.

[0021]可选的,所述获得用于存储数据信息类目结构的初始分类结构树,具体为:所述用于存储数据信息类目结构的初始分类结构树是数据信息发布时,按照标准分类结构树选择建立的。 [0021] Optionally, the obtaining data storage information for initial classification category tree structures, specifically: when used in the initial classification category tree data structure stored data is released, in accordance with standard classification tree selection established.

[0022]上述技术方案中的一个或多个技术方案,具有如下技术效果或优点: [0022] An aspect of the above aspect or more, has the following technical effects or advantages:

[0023]本申请中一个或多个技术方案通过在原有的初始分类结构树的基础上,生成存储数据信息类目结构的重组分类结构树,由于上述重组分类结构树具有灵活多变的特征,在进行数据信息维护和数据信息查找时,利用搜索引擎对数据信息进行搜索,便能够及时快速的搜索到需要的数据信息,因此,有效的解决了在现有技术中进行数据信息搜索时,搜索引擎负担过重,以及在进行数据信息维护和数据信息查找时压力过大的技术问题,进而具有既能减少搜索引擎的负担,又能缓解在进行数据信息维护和数据信息查找时的压力的技术效果。 [0023] The present application in one or more of the technical solution in the original tree of the initial classification, the classification tree generating recombinant storing data structure information category, since the recombinant classification tree having flexible features, during data maintenance and data information search, the data search information using search engines, will be able to search quickly and timely data needed, therefore, an effective solution when data in the prior art search, search engine overburdened, and information during data maintenance and data information to find the pressure too much technical problems, thereby reducing the burden of having both search engines, but also to ease the pressure when performing data maintenance and data information to find technology effect.

附图说明 BRIEF DESCRIPTION

[0024]图1为本实施例一中数据信息分类结构的存储方法的流程图; [0024] FIG. 1 is a flowchart of a method for storing data according to classification information structure embodiment;

[0025]图1A为实施例一中初始分类结构树的不意图; [0025] FIG 1A is a first embodiment in the initial classification tree is not intended;

[0026]图1B为本实施例一中通讯工具的初始分类结构树的示意图; [0026] FIG. 1B is a schematic diagram of a classification tree in the initial communication tool of the present embodiment;

[0027]图1C为本实施例一中基于初始分类结构树生成的存储数据信息类目结构的重组分类结构树的具体示意图; [0027] FIG. 1C of the present embodiment in particular a classification tree based on recombinant schematic storing data generated by the initial classification information category tree structure embodiment;

[0028]图1D为本申请实施例一中初始结构分类树的生成过程; [0028] FIG. 1D of the present application embodiment a generation process of the initial structure of the embodiment of the classification tree;

[0029]图1E为实施例一中将具有相同或相近的分类特征的类目按照树状结构的形式生成标准分类结构树的具体示意图; [0029] FIG. 1E have the same or similar features of the category classification standard classification tree generation as an example in the embodiment in the form of a tree structure specific schematic;

[0030]图2为本实施例一中存储数据信息分类结构的系统; [0030] FIG. 2 in a system for storing data structure information classified according to the present embodiment;

[0031]图2A为本实施例一中结合硬件环境在初始分类结构树的基础上生成重组分类结构树的具体实现过程示例图; [0031] FIG. 2A binding a specific implementation example of a hardware environment of FIG classification tree generating recombinant initial classification tree based on the present embodiment;

[0032]图3为本实施例二中一种对如实施例一所述方法生成的数据信息分类结构进行查询的方法流程图; A method for classification configuration data as described in Example generating a flow diagram of the query II [0032] Figure 3 present embodiment;

[0033]图4为为本实施例二中提供的一种对如实施例一所述方法生成的数据信息分类结构进行查询的系统; [0033] FIG. 4 is one kind of embodiment two of the present embodiment provided information for classification configuration data as described in an embodiment of the method of generating a system query;

[0034]图4A为本实施例二中通过数据信息展示模块展示导航信息的示意图; Example II a schematic view showing navigation data display module information via [0034] FIG. 4A of the present embodiment;

[0035]图4B为本实施例二中选择“苹果”的重组分类结构树的示意图; [0035] FIG. 4B is a schematic diagram two select "apple" recombinant classification tree the present embodiment;

[0036]图4C为本实施例二中通过搜索引擎模块逐级导航的示意图; Example II a schematic view of the search engine module stepwise navigation through [0036] FIG 4C of the present embodiment;

[0037]图4D为本实施例二中通过搜索引擎模块逐级导航的示意图; Example II a schematic view of the search engine module stepwise navigation through [0037] FIG 4D the present embodiment;

[0038]图4E为本实施例二中通过搜索引擎模块逐级导航获得查询结果的示意图。 [0038] FIG. 4E is a schematic view of results obtained by a search engine query stepwise navigation module of the present embodiment in Example II.

具体实施方式 detailed description

[0039]下面结合各个附图对本申请实施例技术方案的主要实现原理、具体实施方式及其对应能够达到的有益效果进行详细地阐述。 [0039] below with reference to implementation principle of the technical solution of the embodiments of the various figures of the present application, specific embodiments and the corresponding beneficial effects that can be achieved are set forth in detail.

[0040]为了解决现有技术中进行数据信息搜索时,搜索引擎负担过重,以及在进行数据信息维护和数据信息查找时压力过大的技术问题,本申请实施例一提供了一种数据信息分类结构的存储方法,根据数据信息发布时的初始分类结构树,将不同的分类特征作为根节点对数据信息的分类特征进行重组,生成不同的分类结构树,从而可以对同一个数据信息提供多种分类结构树,这样当查询数据时,根据各种分类结构树提供多种导航途径,从而减少因导航途径单一导致的重复搜索问题。 [0040] In order to solve when the prior art data search, the search engine overburdened, and maintaining information and data carrying data lookup excessive pressure technical problems, according to a first embodiment of the present application, a data the method of storing the classification structure, the classification tree according to the initial data when the information distribution, a different classification characteristic root feature data classification information reorganization, different classification tree generated, thereby providing a plurality of the same data tree species classification, so that when a query data, offers a variety of ways, according to various classification navigation tree, thereby reducing duplication search problems caused due to a single navigation route.

[0041]以下结合说明书附图对本申请的实施例一进行说明,应当理解,此处所描述的实施例一仅用于说明和解释本申请,并不用于限定本申请,并且在不冲突的情况下,本申请中的所有实施例及实施例中的特征可以相互组合。 [0041] The following description in conjunction with the case where the first embodiment will be described with the accompanying drawings, it should be understood that the embodiments described herein are merely one embodiment of the present application for illustration and explanation, and are not intended to limit the present application, and do not conflict with the present application is the , all the features in the embodiments and application of the present embodiment may be combined with each other.

[0042]参考图1,为本申请实施例提供一种数据信息分类结构的存储方法,包括以下步骤: [0042] Referring to FIG 1, there is provided a method for storing data structure information classification embodiments of the present application, comprising the steps of:

[0043]步骤101,获得用于存储数据信息类目结构的初始分类结构树,所述初始分类结构树包括数据信息查询源特征的初始根节点,和至少一级描述分类特征的子节点,叶子节点为对应的数据信息。 [0043] Step 101, the initial classification tree obtained for storing data structure information category, the initial classification tree root node data includes an initial inquiry source characteristics, and sub-nodes of the at least one classification characteristic description, the leaf the node corresponding data information.

[0044]如上所述,参考图1A,其为初始分类结构树的示意图。 [0044] As described above, with reference to Figure 1A, which is a schematic view of the initial classification tree. 其中,初始分类结构树包括数据信息查询源特征的初始根节点,和至少一级描述分类特征的子节点,叶子节点为对应的数据信息。 Wherein the initial classification tree information comprises a source of the query feature data initial root node, and child node at least one classification characteristic description, the leaf node corresponding to the data information. 用于存储数据信息类目结构的初始分类结构树是数据信息的发布者在发布数据信息时,根据标准的分类结构选择建立的。 Initial classification data structure for storing information category tree structure data by a publisher when publishing data, selected according to criteria established classification structure.

[0045]以下以通讯工具为例,参考图1B,通讯工具的初始分类结构树具体为: [0045] In the following an example of communication, 1B, the initial classification tree correspond to specific tools:

[0046]数据信息查询源特征的初始根节点为通讯工具,该根节点下有如下第一级子节点:对讲机、手机、通讯零部件、电脑。 [0046] The data source of the query feature initial root node communication tool, following the first stage of the sub-node under the root node: intercom, mobile phones, communications components, the computer. 而第一级子节点中的“手机”子节点中有如下第二级子节点:品牌、网络类型。 The "phone" child node of the first level child nodes of the second level in the following sub-nodes: brand, network type. 其中,“品牌”子节点中又具有如下第三级子节点:诺基亚、苹果、联想等品牌手机,而“网络类型”子节点中则具有如下第三极子节点:GSM,CDMA。 Among them, the "brand" of child nodes in the third level and has the following child nodes: Nokia, Apple, Lenovo and other brand mobile phone, and the "Network Type" in the child node has a child node of the third pole: GSM, CDMA. 而作为“品牌”子节点中的子节点“苹果”中又具有如下第四级子节点:IPH0NE3、IPH0NE4。 As a child node "brand" child node "Apple", it also has the fourth level of children: IPH0NE3, IPH0NE4. 作为第四级子节点的“IPH0NE3”、“IPH0NE4”为该初始分类结构树中关于手机子节点中的叶子节点,即为对应的数据信息。 As the fourth stage of child nodes "IPH0NE3", "IPH0NE4" for initial classification tree leaf node child node on a mobile phone, is the corresponding data.

[0047]而上述作为第一级子节点中的“电脑”子节点中具有如下第二级子节点:笔记本电脑、平板电脑。 [0047] and said second stage has a sub-node as a child node of the first stage of the "computer" subnode: notebook computers, tablet computers. 而作为第二级子节点的“笔记本电脑”子节点中又具有如下第三级子节点:品牌、内存容量、屏幕尺寸。 Brand, memory capacity, screen size: The "laptop" as a child node of the second level of children in third grade and has the following sub-node. 作为第三级子节点的“品牌”子节点中又具有如下第四级子节点:苹果、宏基。 As a third level sub-node "brand" child node and has a fourth grade child nodes: Apple, Acer. 而作为第三级子节点的“屏幕尺寸”子节点中则具有如下第四级叶子节点:13,14,而作为第四级子节点的“13” “14”为该初始分类结构树中关于电脑中“屏幕尺寸”子节点中的叶子节点,即为对应的数据信息。 As a "screen size" child node of the third level sub-node is a leaf node has a fourth level: 13, 14, as a child node of the fourth level "13", "14" for the initial classification tree on computer "screen size" leaf node child node, that is, the corresponding data. 作为第四级子节点的“苹果”子节点中又具有如下第五级子节点:MAC374、MAC375。 As a fourth grade child node "Apple", it also has a child node fifth grade child nodes: MAC374, MAC375. 作为第五级子节点的“MAC374”、“MAC375”为该初始分类结构树中作为电脑子节点中最后一级子节点,该“MAC374”、“MAC375”为其叶子节点,即为对应的数据信息。 As the fifth stage of child nodes "MAC374", "MAC375" for initial classification tree as a child node of the last node in the child computer, the "MAC374", "MAC375" for its leaf nodes, i.e. data corresponding to information.

[0048]应当理解,此处所列举的初始分类结构树仅用于说明和解释本实施例,并不用于限定本实施例,本实施例完全可以采用其他类别的初始分类结构树,如女装的初始分类结构树来举例说明。 [0048] It should be understood that the recited herein initial classification tree only to illustrate and explain the present embodiment embodiment, not intended to limit the present embodiment, the present embodiment can employ initial classification tree other categories, such as women's initial classification tree exemplified.

[0049]基于用于存储数据信息类目结构的初始分类结构树,至少执行一次如下步骤,生成一个存储数据信息类目结构的重组分类结构树,并存储生成的重组分类结构树: [0049] The initial classification based on a tree structure for storing data information category, at least once the steps of generating a recombinant classification tree structure for storing data information category, and stores the classification tree generated by recombination:

[0050]步骤102,将所述初始分类结构树中的初始根节点或其中一级子节点确定为重组分类结构树的根节点。 [0050] Step 102, the initial root node or a child node where the initial classification tree is determined as the root node of the classification tree reorganization.

[0051]将所述初始分类结构树中的初始根节点或其中一级子节点确定为重组分类结构树的根节点,即如上所述,在上述基于通讯工具的初始分类结构树的基础上,可以选择其根节点“通讯工具”或是其中一级子节点如“手机”、“品牌”或是“苹果”等子节点作为重组分类结构树的根节点,这里,选用“苹果”作为重组分类结构树的根节点进行说明: [0051] The initial classification tree structure wherein an initial sub-root node or a root node is determined as recombinant classification tree, i.e. as described above, in the basis of the initial classification tree based on the communication tools, you can select its root node "communication tools" or in which a child node, such as "mobile phone", "brand" or "apple" and other child nodes as a recombinant classification tree root, here, use the "Apple" as a recombinant Category the root node of the tree structure is described:

[0052]将作为初始分类结构树中的“苹果”子节点确定为重组分类结构树的根节点,重组苹果系列产品的重组分类结构树。 [0052] will be determined as the "Apple" sub-node initial classification tree is the root node, Apple products reorganization reorganization reorganization of the classification tree classification tree.

[0053]步骤103,将所述初始分类结构树中除确定的根节点或子节点之外的剩余节点中,至少一个节点确定为所述重组分类结构树的子节点; [0053] Step 103, the remaining nodes other than the root node or a child node of the initial tree classification is determined in addition, at least one node of the child node determined recombinant classification tree;

[0054]在上述通讯工具的初始分类结构树中,已确定“苹果”作为重组分类结构树的根节点,则除“苹果”节点以外,其他剩余节点均可作为重组分类结构树的子节点。 [0054] In the above-described initial classification tree communication tool, it has been determined "Apple" as the root node of the tree recombinant classification, in addition to the "apple" node, the remaining nodes can be used as the other child node of the classification tree recombinant.

[0055]根据上述描述的初始分类结构树中,可以确定上述“苹果”中已包含手机和笔记本电脑系列产品,则将“手机”子节点以及“笔记本电脑”子节点作为“苹果”作为重组分类结构树中的第一级子节点。 [0055] According to the initial classification tree structure described above may be determined in the above-mentioned "Apple" are included cell phone and laptop products, will be "mobile phone" sub-node and "notebook" as a child node "Apple" as a recombinant Category the first stage of the child node tree. 而将“IPH0NE3”、“IPH0NE4”系列作为第一级“手机”子节点中的子节点。 And the "IPH0NE3", "IPH0NE4" series as a child node of the first stage of "mobile phone" sub-node. 将“MAC374”、“MAC375”作为“电脑”子节点中的子节点。 The "MAC374", "MAC375" child nodes "computer" child node.

[0056]应当理解,此处选择的“苹果”子节点作为存储数据信息类目结构的重组分类结构树的根节点仅用于说明本实施例,并不用于限定本实施例,本实施例完全可以根据实际情况的需要选择上述初始分类结构树或其他初始分类结构树中的某一个根节点或子节点作为其根节点,并选择除上述初始分类结构树或其他初始分类结构树中确定的根节点或子节点之外的剩余节点中,至少一个节点确定为所述重组分类结构树的子节点,如苹果产品中并不仅仅限于手机和电脑,还包括其他如手机配件、电脑芯片等,而“手机配件”、“电脑芯片”子节点在其他初始分类结构树中,则可以根据实际需要选择其他初始分类结构树中的“手机配件”、“电脑芯片”子节点重组到本实施例中关于“苹果”的重组分类结构树中,此处就不细举了。 [0056] It should be understood that the "Apple" child node selected here as the root of the tree structure of recombinant classification storing data structure information category merely to illustrate the present embodiment, not intended to limit the present embodiment, the present embodiment is completely you can select one or a sub-root node of said initial classification tree or other initial classification tree according to the actual situation as its root node, and select the determined addition to the initial classification initial classification tree or other tree root remaining nodes other than the node or a child node, the at least one node of the child node determined recombinant classification tree, such as the Apple products are not limited to mobile phones and computers, but also other accessories such as mobile phones, computer chips, and "mobile phone accessories", "computer chip" child node at the other initial classification tree, you may actually need to select another initial classification tree of "mobile phone accessories" the recombinant "computer chip" child nodes to the present embodiment, about "Apple" of restructuring the classification tree, where the fine is not cited.

[0057]步骤104,根据为所述重组分类结构树确定出的根节点和子节点,并将所述对应的数据信息作为重组分类结构树的叶子节点,生成和所述初始分类结构树不相同的重组分类结构树。 [0057] Step 104, according to the determined classification of said recombinant tree root and child nodes, and the data corresponding to the classification information as a recombinant leaf nodes of the tree structure, and generating the initial classification trees are not the same recombinant classification tree.

[0058]将上述为所述重组分类结构树确定出的根节点和子节点按照上述的分级进行排列,生成和所述初始分类结构树不相同的重组分类结构树,而作为最后一级的子节点,即叶子节点的“IPH0NE3”、“IPH0NE4”以及“MAC374”、“MAC375”作为对应的数据信息,则对应到相应的子节点下。 [0058] The above-described recombinant determined for the classification tree root and child nodes arranged hierarchically according to the above, generated classification tree and the initial non-identical recombination classification tree, child nodes as the last stage , i.e. leaf nodes "IPH0NE3", "IPH0NE4" and "MAC374", "MAC375" as the data corresponding to information, corresponds to the appropriate child node.

[0059]参考图1C,其为基于初始分类结构树生成的存储数据信息类目结构的重组分类结构树的具体示意图。 [0059] Referring to Figure 1C, which is based on recombinant classification configuration data stored in the initial classification tree generated tree structure specific information category FIG.

[0060]应当理解,此处举例用初始分类结构树中的“苹果”子节点作为重组分类结构树的根节点,来重组苹果系列产品的重组分类结构树仅用于说明本实施例的实施过程,并不用于限定本实施例,本实施例可以根据实际情况需要,基于一类或多类不同的初始分类结构树来生成一个存储数据信息类目结构的重组分类结构树,或是基于一类初始分类结构树来生成多个存储数据信息类目结构的重组分类结构树,或者基于一类或多类不同的初始分类结构树来生成一个或多个存储数据信息类目结构的重组分类结构树。 [0060] It should be appreciated that, with the example where the "Apple" child node of the tree initial classification as a classification tree root recombinant, recombinant recombinantly classification tree Apple products only embodiment of the process of the present embodiment for explaining an embodiment , not intended to limit the present embodiment, the present embodiment may be needed according to the actual situation, based on one or more types of different initial classification tree generating recombinant classification tree category storing data structure information, or based on a class of initial classification tree generating recombinant classification tree stores a plurality of category data structure, or on one or more types of different initial classification tree generating a classification tree recombinant storing one or more data categories structure .

[0061]其中,步骤101以上述通讯工具类为例,对通过建立通讯工具的标准分类结构树,以及对通过通讯工具的标准分类结构树建立通讯工具的初始分类结构树的过程做具体的描述,参考图1D: [0061] wherein the above-described step 101 to the communication tools, for example, by establishing a communication tool to make standard classification tree, and the process of establishing communication tool by standard classification tree communication tool initial classification tree particular description , with reference to FIG. 1D:

[0062]步骤1011,归类具有相同或相近的分类特征的类目。 [0062] Step 1011, classification category classification having the same or similar features.

[0063]当建立通讯工具类的标准分类结构树时,首先选择有相同或相近的类目,如手机、对讲机、通讯零部件、电脑,该四类类目都属于通讯工具类目下,对讲机、手机是移动通讯工具,而电脑作为互联网的通讯工具,通讯零部件作为通讯工具下用于维修的工具,该四类都有共同的特征信息,则将该四类归属为通讯工具下的类目,作为初始节点“通讯工具”下的子节点。 [0063] When establishing a standard classification tree of communication tools, first select same or similar category, such as mobile phones, walkie-talkies, communications components, computers, which belong to category four categories when communications, walkie-talkie , mobile phone communication tool, the Internet and the computer as a communication tool, as a tool for communication spare parts for maintenance of communication tools under the four categories have a common characteristic information, is attributed to the four categories of communication tools in the Currently, as the initial child node of "communication tool." 而手机又可以细化为“品牌”类手机或“网络类型”手机,“品牌”是按不同品牌进行划分,而“网络类型”是按照通讯技术进行划分,如GSM型手机为使用全球移动通信技术的手机,而CDMA型手机为利用展频的通讯技术的手机,则将“GSM”、“CDMA”归属于“网络类型”。 The phone and can be refined to "brand" like a cell phone or "network type" mobile phone "brand" is divided according to the different brands, and the "Network Type" is divided according to communication technologies, such as GSM phones using Global System for Mobile Communications technology, mobile phone, while CDMA phones for the use of spread spectrum communication technology, mobile phone, then the "GSM", "CDMA" attributable to "the type of network." 品牌类型下又划分为多个品牌,如诺基亚、苹果、联想、三星、天语等品牌,此处仅以诺基亚、苹果、联想三类品牌举例。 Under the brand and type is divided into a number of brands such as Nokia, Apple, Lenovo, Samsung, Tianyu and other brands, where only Nokia, Apple, Lenovo brand three examples.

[0064]而电脑类目下又可以分为笔记本电脑以及平板电脑,笔记本电脑下又具有以“品牌”分类的笔记本电脑、以“内存容量”分类的笔记本电脑、以“屏幕尺寸”分类的笔记本电脑,即将“品牌”、“内存容量”、“屏幕尺寸”归属为笔记本电脑下。 [0064] and the next computer category can be divided into notebook computers and tablet PCs, notebook computers and lower notebook computer has a "brand" category, with "memory" category of notebook computers, the "screen size" category of notebook computer, soon to be "brand", "memory", "screen size" home for the next laptop. 而品牌笔记本电脑又将划分为“苹果”、“宏基”、“联想”、“华硕”等多个品牌,此处以“苹果”、“宏基”为例。 The brand notebook computers turn into "apple", "Acer", "Legend", "ASUS" and many other brands, here to "Apple", "Acer" as an example.

[0065]步骤1012,根据归类,将具有相同或相近的分类特征的类目按照树状结构的形式生成标准分类结构树。 [0065] Step 1012, based on collation, having the same or similar features of the category classification standard classification tree generated in the form of a tree structure.

[0066]根据上述归类,将具有相同或相近的分类特征的类目按照树状结构的形式生成标准分类结构树,如图1E所示。 [0066] According to the above classification, having the same or similar features of the category classification standard classification tree generated in the form of a tree structure, shown in Figure 1E.

[0067]上述标准结构分类树按照规定标准进行归类,分类结构固定不变,信息发布者根据标准分类结构树逐级选择分类特征,将数据信息发布到叶子节点,从而形成初始分类结构树。 [0067] The criteria for the classification tree structure in accordance with a predetermined classification standard, fixed structure classified, according to the standard classification information publisher tree classification characterized in stepwise selection, the leaf node to the publish data information, thereby forming the initial classification tree.

[0068]步骤1013,在发布数据信息时,将对应的数据信息对应到对应的描述分类特征的子节点下,作为对应的叶子节点,即获得用于存储数据信息类目结构的初始分类结构树。 The child node [0068] Step 1013, the data information at the time of release, the corresponding data information corresponding to the corresponding features described in the classification, as the corresponding leaf node, i.e., to obtain an initial classification tree for storing data structure information category .

[0069]如对应于“手机”子节点下的“苹果”子节点,苹果手机下具有“IPH0NE3”、“IPH0NE4”、“IPAD”、“IP0D” 等系列品牌,此处以“IPH0NE3”、“IPH0NE4” 系列为例,将“IPH0NE3”、“IPH0NE4”作为对应于“苹果”子节点的数据信息,对应到“苹果”子节点下,作为“苹果”子节点下的叶子节点。 [0069] As corresponds to the "mobile phone" child node "Apple" child node, the next Apple phone has a "IPH0NE3", "IPH0NE4", "IPAD", "IP0D" brand series, here to "IPH0NE3", "IPH0NE4 "series, for example, the" IPH0NE3 "," IPH0NE4 "as corresponding to the" Apple "data sub-node, which corresponds to the" "next child node, as" apples under apple "child node of the leaf node. 而对于“电脑”子节点下的苹果系列电脑,则具有“MAC374”、“MAC375”系列电脑,则将作为数据信息的“MAC374”、“MAC375”对应到作为“电脑”子节点的“苹果”子节点下,作为其叶子节点。 For Apple Computer series of "computer" child nodes, with "MAC374", "MAC375" computer series, as will "MAC374" data information, "MAC375" corresponds to a "computer" child node "Apple" under the child node, as a leaf node. 而作为“屏幕尺寸”的数据信息,“13”、“14”则对应到“屏幕尺寸”子节点下,作为其叶子节点。 As a "screen size" data, "13", "14" corresponds to the "screen size" sub-node, as its leaf nodes. 如上述图1B所示,即为获得用于存储数据信息类目结构的初始分类结构树。 As described above 1B, the initial classification tree that is obtained for storing data structure information category.

[0070]参考图2,其为本实施例一中存储数据信息分类结构的系统,其中,该系统包括:[0071 ]分类运维模块201,用于获得用于存储数据信息类目结构的初始分类结构树,所述初始分类结构树包括数据信息查询源特征的初始根节点,和至少一级描述分类特征的子节点,叶子节点为对应的数据信息。 [0070] Referring to Figure 2, which is present in a system for storing data structure information classification embodiment, wherein the system comprises: [0071] Sort operation and maintenance module 201 for storing data for obtaining the initial information category structure classification tree, the initial classification tree root node data includes an initial inquiry source characteristics, and sub-nodes of the at least one classification characteristic description, the leaf node corresponding to the data information.

[0072]规则引擎模块202,用于将所述初始分类结构树中的初始根节点或其中一级子节点确定为重组分类结构树的根节点;并用于将所述初始分类结构树中除确定的根节点和子节点之外的剩余节点中,至少一个节点确定为所述重组分类结构树的子节点;还用于根据为所述重组分类结构树确定出的根节点和子节点,并将所述对应的数据信息作为重组分类结构树的叶子节点,生成和所述初始分类结构树不相同的重组分类结构树。 [0072] The rules engine module 202, for the initial root node or a child node where the initial classification tree is determined as the root node of the tree structure of recombinant classification; and for the initial classification tree is determined, in addition to remaining nodes other than the root node and sub-nodes, the at least one node determines said recombinant classification tree child node; further determined according to the recombinant classification tree root and child nodes, and the data corresponding to the leaf node as a recombinant classification tree generated classification tree and the initial non-identical recombination classification tree.

[0073]分类数据模块203,用于存储初始分类结构树和重组分类结构树。 [0073] The data classification module 203 for storing the initial classification tree and recombinant classification tree.

[0074]在上述模块描述的用于存储数据信息类目结构的初始分类结构树,是数据信息发布时,按照标准分类结构树选择建立的。 [0074] In the initial classification means for storing data information category tree structure as described, the data information is published, the classification tree according to the standard established by selection.

[0075]参考图2A,其为通过规则引擎模块202在初始分类结构树的基础上生成重组分类结构树的具体实现过程,用上述描述的通讯工具的初始分类结构树为例。 [0075] Referring to Figure 2A, which is a specific implementation by the rules engine module 202 generates a classification tree recombinant initial classification on the basis of the tree, an example classification tree with initial communication tools described above.

[0076]规则引擎模块202在上述描述的通讯工具的初始分类结构树中,选择通讯工具的初始分类结构树的初始根节点或其中一级子节点确定为重组分类结构树的根节点,这里选择“苹果”作为重组分类结构树的根节点,将作为初始分类结构树中的“苹果”子节点确定为重组分类结构树的根节点,重组苹果系列产品的重组分类结构树,在上述通讯工具的初始分类结构树中,已确定“苹果”作为重组分类结构树的根节点,则除“苹果”节点以外,其他剩余节点均可作为重组分类结构树的子节点。 [0076] The rules engine module 202 in the initial classification tree communication tool described above, wherein an initial root node or a child node of the selected communication tool initial classification tree is determined as the classification tree root recombinant choose where "Apple" as the root node of the tree reorganization of classification will be determined as the initial classification tree "Apple" as a child node of the classification tree root restructuring, reorganization reorganization classification tree Apple products, in the above communication tools initial classification tree, has identified the "Apple" as the root of the tree structure reorganization of classification, in addition to the "Apple" node, the other remaining nodes can be classified as a recombinant child node of the tree. 根据上述描述的初始分类结构树中,可以确定上述“苹果”中已包含手机和笔记本电脑系列产品,则将“手机”子节点以及“笔记本电脑”子节点作为“苹果”作为重组分类结构树中的第一级子节点。 Initial classification tree structure described above can be determined according to the above-mentioned "Apple" are included cell phone and laptop products, will be "mobile phone" sub-node and "notebook" as a child node "Apple" as a recombinant classification tree a first level sub-node. 而将“IPH0NE3”、“IPH0NE4”系列作为第一级“手机”子节点中的子节点。 And the "IPH0NE3", "IPH0NE4" series as a child node of the first stage of "mobile phone" sub-node. 将“MAC374”、“MAC375”作为“电脑”子节点中的子节点。 The "MAC374", "MAC375" child nodes "computer" child node.

[0077]通过本申请的实施例一,可以实现如下技术效果: [0077] The present disclosure an embodiment, can achieve the following technical effects:

[0078]本申请实施例一通过提供一种数据信息分类结构的存储方法和系统,在原有的初始分类结构树的基础上,生成存储数据信息类目结构的重组分类结构树,由于上述重组分类结构树具有灵活多变的特征,在进行数据信息维护时,利用搜索引擎对数据信息进行搜索,便能够及时快速的搜索到需要的数据信息,因此,有效的解决了在现有技术中进行数据信息搜索时,搜索引擎负担过重,以及在进行数据信息维护时压力过大的技术问题,进而具有既能减少搜索引擎的负担,又能缓解在进行数据信息维护时的压力的技术效果。 Embodiment [0078] The present application embodiment a method and system by storing data to provide a classification structure, in the original initial classification tree generated on the storing data information category recombinant classification tree structure, since the recombinant classification tree has flexible features, during data maintenance, data search information using search engines, will be able to quickly search data and timely information to the need, therefore, an effective solution for data in the prior art when information search, search engine overburdened, and data maintenance during the pressure is too big technical issues, and then have both to reduce the burden of the search engines, but also to ease the pressure when the technical effect of performing data maintenance.

[0079]本申请实施例二提供了一种对如实施例一所述方法生成的数据信息分类结构进行查询的方法,参考图3。 Example [0079] The present application provides two methods for a query as a data classification method according to the structure of the embodiment generates, with reference to FIG.

[0080]步骤301,将数据信息的初始分类结构树和每一个重组分类结构树的根节点作为数据信息查询源特征的导航信息显示在数据信息查询界面上。 [0080] Step 301, the initial classification tree data information and each of the recombinant classification tree root node as the source of the query feature data navigation information displayed on the information data query interface.

[0081]步骤302,根据用户选择的数据信息查询源特征,确定数据信息查询源特征作为根节点的分类结构树。 [0081] Step 302, the data source of the query feature information selected by the user, is determined as the inquiry information of the source feature data classification tree root node.

[0082]步骤303,根据确定的分类结构树为用户逐级导航,直至用户查询到所述数据信息。 [0082] Step 303, the classification tree according to the determined user to navigate stepwise, until the user to query the data.

[0083]其中,用于存储数据信息类目结构的初始分类结构树是数据信息发布时,按照标准分类结构树选择建立的。 [0083] wherein, for storing data of the initial information category classification tree data structure is released, selected according to the standard classification tree established.

[0084]基于上述显示在数据信息查询界面上的数据信息的初始分类结构树和每一个重组分类结构树的根节点,根据实际需要,确定一个根节点,而确定一个根节点,就代表确定选择了该根节点所属的分类结构树,其中,分类结构树包括初始分类结构树以及重组分类结构树,而后该分类结构树中的第一级子节点会显示在数据信息查询界面上,当选择了第一级子节点中的某一个子节点,则该子节点中的子节点就会显示在数据信息查询界面上,逐级类推,直到需要的数据信息显示在数据信息查询界面上为止。 [0084] Based on the above initial classification tree display data information on the data and information query interface recombinant each classification tree root node, according to actual needs, determining a root, a root node is determined, determine the selection represents classification tree of the root node belongs, wherein the classification tree comprises an initial classification tree and recombinant classification tree, then the classification tree child node of the first stage will appear on the data query interface, when selected child node of the first stage of a child node, the child nodes of the node data is displayed on the information query interface, and so on progressively until the data until the required information displayed on the information data query interface.

[0085]以下举例说明,当如实施例一所述的重组分类结构树的根节点“苹果”作为导航信息现实中数据信息查询界面上时,通过选择“苹果”根节点,该重组分类结构树中的第一级子节点“手机”及“笔记本电脑”就会显示在数据信息查询界面上,通过选择“手机”子节点,贝丨J作为“手机”子节点中的数据信息,如选择“IPH0NE3”,则“IPH0NE3”叶子节点就会显示在数据信息查询界面上。 [0085] The following examples illustrate, when the root node as a recombinant classification tree according to the embodiment as navigation information in the real data information query interface "apple", by selecting the "Apple" root node, the tree classification recombinant the first-level child node "mobile phone" and "laptop" is displayed on the data query interface by selecting "mobile phone" sub-node, Tony Shu J as a data message "phone" child node, such as selecting " IPH0NE3 ", then" IPH0NE3 "leaf nodes will be displayed on the data query interface.

[0086]参考图4,为本实施例二中提供的一种对如实施例一所述方法生成的数据信息分类结构进行查询的系统。 [0086] Referring to FIG 4 A Example II provide for classification configuration data as described in an embodiment of the method of generating the querying system of the present embodiment.

[0087]该系统包括: [0087] The system comprises:

[0088]数据信息展示模块401,用于显示将数据信息的初始分类结构树和每一个重组分类结构树的根节点作为数据信息查询源特征的导航信息。 [0088] The data display module 401 for displaying the navigation information data initial classification tree root node and each of the recombinant classification tree information query as a data source characteristics.

[0089]搜索引擎模块402,用于根据用户选择的数据信息查询源特征,确定数据信息查询源特征作为根节点的分类结构树,并用于根据确定的分类结构树为用户逐级导航,直至用户查询到所述数据信息。 [0089] The search engine module 402, according to information query data source characteristics selected by the user, is determined as the inquiry information of the source feature data classification tree root, and according to the determined classification tree for the user to navigate stepwise, until the user to query the data information.

[0090]数据存储模块403,用于存储数据信息,提供数据查询源。 [0090] The data storage module 403 for storing data information, providing data query source.

[0091 ]其中,用于存储数据信息类目结构的初始分类结构树是数据信息发布时,按照标准分类结构树选择建立的。 [0091] wherein, for storing data of the initial information category classification tree data structure is released, selected according to the standard classification tree established.

[0092]参考图4A,其为数据信息展示模块401上显示的将数据信息的初始分类结构树和每一个重组分类结构树的根节点作为数据信息查询源特征的导航信息,如有“通讯工具”、“电脑”、“苹果”、“女装”等信息,而搜索引擎模块402则用于根据用户选择的数据信息查询源特征,确定数据信息查询源特征作为根节点的分类结构树,并用于根据确定的分类结构树为用户逐级导航,直至用户查询到所述数据信息,如图4B、4C、4D、4E,当选择一个导航信息,如选择“苹果”,就选择了“苹果”的重组分类结构树,该重组分类结构树中的第一级子节点“手机”及“笔记本电脑”就会显示在数据信息查询界面上,通过选择“手机”子节点,则作为“手机”子节点中的数据信息,如选择“IPH0NE3”,则“IPH0NE3”叶子节点就会显示在数据信息查询界面上。 [0092] Referring to Figure 4A, which is the initial classification tree data information on the display 401 of the root node and each of the recombinant classification tree data information display module as the source of the query feature data navigation information, if "Communication tool "," computer "," Apple "," women's "and other information, and the search engine module 402 according to information query data source characteristics selected by the user, is determined as the inquiry information of the source feature data classification tree root node, and for the classification tree is determined for the user to navigate stepwise, until the user to query the data, as shown in FIG 4B, 4C, 4D, 4E, when selecting a navigation information, such as selecting "Apple" chose "Apple" recombinant classification tree, the first stage of the reorganization of the child node classification tree "mobile phone" and "laptop" is displayed on the data query interface by selecting "mobile phone" child nodes, as a "mobile phone" sub-node the data information, such as selecting "IPH0NE3", then "IPH0NE3" leaf node is displayed on the data query interface.

[0093]通过本申请的实施例二,可以实现如下技术效果: [0093] according to a second embodiment of the present application, can achieve the following technical effects:

[0094]本申请实施例二通过提供一种如实施例一所述方法生成的数据信息分类结构的查询方法和系统,在生成存储数据信息类目结构的重组分类结构树的基础上进行查询,由于上述重组分类结构树具有灵活多变的特征,在进行和数据信息查找时,利用搜索引擎对数据信息进行搜索,便能够及时快速的搜索到需要的数据信息,因此,有效的解决了在现有技术中进行数据信息搜索时,搜索引擎负担过重,以及在数据信息查找时压力过大的技术问题,进而具有既能减少搜索引擎的负担,又能缓解在进行数据信息查询时的压力的技术效果。 Example [0094] The present application two query methods, such as by providing a system and the data structure of a classification method according to the embodiment generates, on the basis of the production of recombinant query classification category tree data structure stored on, due to the above restructuring the classification tree has flexible features, during and data information to find and use a search engine to search for data, will be able to search quickly and timely data needed, therefore, effective solution to the current when there is data information search technology, the search engine overburdened, and look at the data too much pressure on technical issues, and then have both reduce the burden of the search engines, but also to ease the pressure of making data query technical effect. 显然,本领域的技术人员可以对本申请进行各种改动和变型而不脱离本申请的精神和范围。 Obviously, those skilled in the art can make various modifications and variations of the present application without departing from the spirit and scope of the present disclosure. 这样,倘若本申请的这些修改和变型属于本申请权利要求及其等同技术的范围之内,则本申请也意图包含这些改动和变型在内。 Thus, if these modifications and variations of the present disclosure of the present application claims and their equivalents within the scope thereof, the present application is intended to cover these modifications and variations.

Claims (8)

1.一种数据信息分类结构的存储方法,其特征在于,具体包括: 获得用于存储数据信息类目结构的初始分类结构树,所述初始分类结构树包括数据信息查询源特征的初始根节点,和至少一级描述分类特征的子节点,叶子节点为对应的数据信息,所述初始根节点代表一个类目; 至少执行一次如下步骤,生成一个存储数据信息类目结构的重组分类结构树,并存储生成的重组分类结构树: 将所述初始分类结构树中的其中一级子节点确定为重组分类结构树的根节点; 将所述初始分类结构树中除确定的根节点或子节点之外的剩余节点中,至少一个节点确定为所述重组分类结构树的子节点; 根据为所述重组分类结构树确定出的根节点和子节点,并将所述对应的数据信息作为重组分类结构树的叶子节点,生成和所述初始分类结构树不相同的重组分类结构树,其中 1. A method for storing classification data structure, characterized in that comprises: obtaining an initial classification category tree data structure is stored, the initial classification tree root node data includes the initial source of the query feature , and sub-nodes of the at least one classification characteristic description, the leaf node corresponding to the data information, the initial root node representative of a category; at least once the steps of generating a recombinant classification tree structure for storing data information category, and storing the generated recombinant classification tree: the initial classification tree, wherein a child node of the root node is determined recombinant classification tree; the initial classification tree root node or a child node of the determined inter remaining nodes outside the at least one node determines said recombinant classification tree child node; according to the determined classification of said recombinant tree root and child nodes, and data information corresponding to the classification tree as a recombinant leaf nodes, and the initial classification to generate non-identical recombination tree classification tree, wherein 所述分类结构树和重组结构树的结构为典型的树状结构,所述重组分类结构树是基于多类不同的初始分类结构树生成的。 The classification tree structure and the tree reorganization typical tree structure, the tree structure is classified based on recombinant many types of different initial classification tree generated.
2.如权利要求1所述的方法,其特征在于,所述获得用于存储数据信息类目结构的初始分类结构树,具体为: 所述存储数据信息类目结构的初始分类结构树是数据信息发布时,按照标准分类结构树选择建立的。 2. The method according to claim 1, wherein the obtaining initial classification tree structure for storing data information category, and specifically: the initial classification storing data information category tree is a data structure when the release of information, in accordance with the standard classification tree selection established.
3.一种存储数据信息分类结构的系统,其特征在于,具体包括: 分类运维模块,用于获得用于存储数据信息类目结构的初始分类结构树,所述初始分类结构树包括数据信息查询源特征的初始根节点,和至少一级描述分类特征的子节点,叶子节点为对应的数据信息,所述初始根节点代表一个类目; 并用于至少执行一次如下步骤,生成一个存储数据信息类目结构的重组分类结构树:规则引擎模块,用于将所述初始分类结构树中的其中一级子节点确定为重组分类结构树的根节点;并用于将所述初始分类结构树中除确定的根节点和子节点之外的剩余节点中,至少一个节点确定为所述重组分类结构树的子节点;还用于根据为所述重组分类结构树确定出的根节点和子节点,并将所述对应的数据信息作为重组分类结构树的叶子节点,生成和所述初始分类结构树不相 3. A system for storing data structure information classification, characterized in that comprises: classification operation and maintenance module configured to obtain an initial classification tree for storing data structure information category, the initial classification tree structure data comprising the initial root source of the query feature, and at least one classification characteristic described child nodes, the leaf node corresponding to the data information, the initial root node representative of a category; and for performing at least once the steps of generating a data store recombinant classification category tree structure: the rule engine module, for the initial classification tree, wherein a child node of the root node is determined as recombinant classification tree; and for the initial classification tree except remaining nodes other than the root node and child nodes is determined, at least one node of the child node determined recombinant classification tree; recombinant further classified according to the determined tree root node and sub-nodes and the information corresponding to said data as leaf nodes recombinant classification tree generated classification tree and the initial phase is not 的重组分类结构树,其中,所述分类结构树和重组结构树的结构为典型的树状结构,所述重组分类结构树是基于多类不同的初始分类结构树生成的; 分类数据模块,用于存储初始分类结构树和重组分类结构树。 Recombinant classification tree, wherein the tree structure and the classification tree structure reorganization typical tree structure, the tree structure is classified based on recombinant many types of different initial classification tree generated; classification data module, with storing initial classification tree and recombinant classification tree.
4.如权利要求3所述的系统,其特征在于,所述获得用于存储数据信息类目结构的初始分类结构树,具体为: 所述用于存储数据信息类目结构的初始分类结构树是数据信息发布时,按照标准分类结构树选择建立的。 4. The system according to claim 3, wherein said tree structure to obtain an initial classification category for storing data structures, specifically: an initial classification of the tree structure for storing data information category when data is information dissemination, in accordance with the standard classification tree selection established.
5.—种利用权利要求1所述方法生成的数据信息分类结构查询数据信息的方法,其特征在于,包括如下步骤: 将数据信息的初始分类结构树和每一个重组分类结构树的根节点作为数据信息查询源特征的导航信息显示在数据信息查询界面上; 根据用户选择的数据信息查询源特征,确定数据信息查询源特征作为根节点的分类结构树; 根据确定的分类结构树为用户逐级导航,直至用户查询到所述数据信息。 The method of classification configuration data of the query data using a method as claimed in claim 5 .- species generated, characterized by comprising the steps of: the root node of the initial tree classification configuration data information and each of the classification tree as recombinant query data source features appear in the data navigation information query interface information; information query the data source characteristics selected by the user, is determined as the inquiry information of the source feature data classification tree root; determined according to the classification tree for the user step by step navigation, until the user to query the data.
6.如权利要求5所述的方法,其特征在于,所述获得用于存储数据信息类目结构的初始分类结构树,具体为: 所述用于存储数据信息类目结构的初始分类结构树是数据信息发布时,按照标准分类结构树选择建立的。 6. The method according to claim 5, wherein said tree structure to obtain an initial classification category for storing data structures, specifically: an initial classification of the tree structure for storing data information category when data is information dissemination, in accordance with the standard classification tree selection established.
7.—种利用权利要求1所述方法生成的数据信息分类结构查询数据信息的系统,其特征在于,具体包括: 数据信息展示模块,用于显示将数据信息的初始分类结构树和每一个重组分类结构树的根节点作为数据信息查询源特征的导航信息; 搜索引擎模块,用于根据用户选择的数据信息查询源特征,确定数据信息查询源特征作为根节点的分类结构树,并用于根据确定的分类结构树为用户逐级导航,直至用户查询到所述数据信息; 数据存储模块,用于存储数据信息,提供数据查询源。 The system of classification configuration data to the query data information using a method as claimed in claim 7 .- species generated, characterized in that comprises: data display means for displaying the initial classification tree data information and each of the recombinant as the root node of the classification tree data source query feature of navigation information; search engine module, according to information query data source characteristics selected by the user, is determined as the inquiry information of the source feature data classification tree root node, and in accordance with certain classification tree for the user to navigate stepwise, until the user query information to the data; a data storage module for storing data information, providing data query source.
8.如权利要求7所述的系统,其特征在于,所述获得用于存储数据信息类目结构的初始分类结构树,具体为: 所述用于存储数据信息类目结构的初始分类结构树是数据信息发布时,按照标准分类结构树选择建立的。 8. The system according to claim 7, wherein said tree structure to obtain an initial classification category for storing data structures, specifically: an initial classification of the tree structure for storing data information category when data is information dissemination, in accordance with the standard classification tree selection established.
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Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104123302A (en) * 2013-04-27 2014-10-29 四川火狐无线科技有限公司 Searching method, device and system
CN104572746B (en) * 2013-10-24 2018-03-20 世纪禾光科技发展(北京)有限公司 A Matrix-style information dissemination and access methods and systems
US9787730B2 (en) * 2015-09-08 2017-10-10 Hong Fu Jin Precision Industry (Shenzhen) Co., Ltd. Data sharing method and electronic device using same

Family Cites Families (34)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2913342B2 (en) * 1990-12-29 1999-06-28 株式会社日立製作所 Information management system
US5446887A (en) 1993-09-17 1995-08-29 Microsoft Corporation Optimal reorganization of a B-tree
JPH0785102A (en) * 1993-09-20 1995-03-31 Hitachi Ltd Document retrieving method
US5915257A (en) * 1994-10-11 1999-06-22 Brio Technology, Inc. Cross tab analysis and reporting method
US6055515A (en) * 1996-07-30 2000-04-25 International Business Machines Corporation Enhanced tree control system for navigating lattices data structures and displaying configurable lattice-node labels
US6185550B1 (en) * 1997-06-13 2001-02-06 Sun Microsystems, Inc. Method and apparatus for classifying documents within a class hierarchy creating term vector, term file and relevance ranking
US6397221B1 (en) * 1998-09-12 2002-05-28 International Business Machines Corp. Method for creating and maintaining a frame-based hierarchically organized databases with tabularly organized data
US6360227B1 (en) * 1999-01-29 2002-03-19 International Business Machines Corporation System and method for generating taxonomies with applications to content-based recommendations
US6591269B1 (en) * 1999-05-19 2003-07-08 Sybase, Inc. Database system with methodology for online index rebuild
US6711585B1 (en) * 1999-06-15 2004-03-23 Kanisa Inc. System and method for implementing a knowledge management system
US7085766B2 (en) 2000-03-09 2006-08-01 The Web Access, Inc. Method and apparatus for organizing data by overlaying a searchable database with a directory tree structure
US20020027567A1 (en) 2000-07-18 2002-03-07 Niamir Bern B. Listing network for classified information
US7239639B2 (en) 2001-12-27 2007-07-03 3Com Corporation System and method for dynamically constructing packet classification rules
US20040230554A1 (en) * 2003-05-15 2004-11-18 Ning An Method of adding data in bulk to a spatial database
US8103540B2 (en) * 2003-06-05 2012-01-24 Hayley Logistics Llc System and method for influencing recommender system
US7165238B2 (en) 2003-06-06 2007-01-16 Intentional Software Corporation Method and system for organizing and manipulating nodes by category in a program tree
US20070150519A1 (en) * 2004-03-30 2007-06-28 Angel Palacios Organiser for complex categorisations
US7412452B2 (en) 2005-01-20 2008-08-12 Pi Corporation Data storage and retrieval system with intensional category representations to provide dynamic categorization of information items
US20060288275A1 (en) 2005-06-20 2006-12-21 Xerox Corporation Method for classifying sub-trees in semi-structured documents
WO2007024736A9 (en) * 2005-08-19 2009-01-15 Biap Systems Inc System and method for recommending items of interest to a user
US20070226073A1 (en) * 2006-03-22 2007-09-27 Wang Kenneth K Garment development and production system utilizing a standardized garment data format
US7778837B2 (en) 2006-05-01 2010-08-17 Microsoft Corporation Demographic based classification for local word wheeling/web search
US7774360B2 (en) * 2006-09-08 2010-08-10 Microsoft Corporation Building bridges for web query classification
US7603367B1 (en) * 2006-09-29 2009-10-13 Amazon Technologies, Inc. Method and system for displaying attributes of items organized in a searchable hierarchical structure
US8140479B2 (en) * 2006-12-21 2012-03-20 International Business Machines Corporation Logical classification of objects on a computer system
US8560398B1 (en) * 2007-03-29 2013-10-15 Amazon Technologies, Inc. Method and system for providing item recommendations
WO2010019209A1 (en) 2008-08-11 2010-02-18 Collective Media, Inc. Method and system for classifying text
US7991757B2 (en) * 2008-08-12 2011-08-02 Amazon Technologies, Inc. System for obtaining recommendations from multiple recommenders
US8290923B2 (en) * 2008-09-05 2012-10-16 Yahoo! Inc. Performing large scale structured search allowing partial schema changes without system downtime
US20100114902A1 (en) 2008-11-04 2010-05-06 Brigham Young University Hidden-web table interpretation, conceptulization and semantic annotation
US9075871B2 (en) 2008-12-24 2015-07-07 Sap Se Technique to classify data displayed in a user interface based on a user defined classification
US9213767B2 (en) 2009-08-10 2015-12-15 Hewlett-Packard Development Company, L.P. Method and system for characterizing web content
CN101763067B (en) * 2009-12-15 2011-08-31 北京航空航天大学 Quick generation method of numerical control machining scheme of complex parts of airplane
WO2011156605A3 (en) * 2010-06-11 2012-04-05 Doat Media Ltd. A system and methods thereof for enhancing a user's search experience

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